Intern

About the Role

GE Vernova's Advanced Research business is the central innovation engine for GE's portfolio of energy businesses, unified under the GE Vernova banner. The research organization comprises 400+ researchers across major scientific and engineering disciplines, driving research programs to decarbonize power, accelerate renewables, promote electrification, and build a 21st-century grid for a zero-carbon energy future. We are seeking a highly motivated and talented individual to join our team as an Advanced Research Intern in Artificial Intelligence. This internship offers an opportunity to work on cutting-edge research projects, collaborate with experienced researchers, and contribute to advancements in Machine learning theory and applications.

Key Responsibilities

• Assist in designing and developing research experiments to address key challenges in time series analysis, machine vision, and deep learning applications.
• Develop novel AI/ML algorithms and implement them in Python, PyTorch, TensorFlow, or similar environments.
• Build and evaluate machine learning and deep learning models for the analysis of time series data and visual data.
• Conduct experiments to validate algorithm performance across various datasets and scenarios.
• Analyze experimental results to validate theoretical assumptions, assess model accuracy, and derive actionable insights.
• Conduct comprehensive literature reviews to stay abreast of state-of-the-art techniques in time series forecasting, computer vision, and deep learning architectures.
• Document research methodologies, experimental setup, results, and findings in technical reports, papers, and presentations for internal and external dissemination.

Requirements & Tech Stack

• Experience developing in Python.
• Familiarity with AI/ML frameworks such as PyTorch, TensorFlow, or Keras.
• Proficiency in building and evaluating statistical, machine learning, and deep learning models for time series and/or image data.
• Experience with data processing, feature engineering, and data visualization tools and libraries (e.g., NumPy, pandas, matplotlib, OpenCV).

Qualifications

• Currently enrolled in a Master's or Ph.D. program in Computer Science, Electrical/Electronics Engineering, Applied Mathematics, Data Science, or a related field, with a focus on AI, Machine Learning, or Data Analytics.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.

Relocation Assistance Provided: Yes